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4. COMPARISON & ANALYSIS ON ACCURACY 
Seek the area by counting the number of pixel that each class 
occupies in land coverage classification map of figure 6 and it 
was compared with ratio to total area (Table 2. Ratio I) and area 
ratio of land use (Table 3. Ratio II). It was presented that 
residential area and road is +1,1% with 8.5% and 9.6%, 
cultivate site is +1.2% with 33.2% and 33.4%, forest is -3.5% 
with 44.5% and 41.0% and water is +0.9% with 14.8% and 
15.7%. In case of cultivate site present the most difference, it is 
analyzed to be due to ambiguities in classification with 
forest. However, total value of two classes are 76.7% and 
74.4% showing relatively small difference of 2.3%. As a result, 
classification method applied is determined to be reasonable 
presenting the difference for each class between land coverage 
classification map and land use map of -3.5% ~ +1.2%. 
5. CONCLUSIONS 
1. With the pixel based coverage classification of Aster VNIR 
image, fair result such as Overall Accuracy of 94.27% and 
Kappa Coefficient of 0.8664 was acquired. 
2. Difference for each class between land coverage classification 
map and land use applying object based classification method 
and RX detector is presented to be -3.5% ~ +1.2% thus it is 
determined that applied classification method is appropriate. 
ACKNOWLEDGEMENT 
The authors gratefully acknowledge the generous financial 
support received from the Korea Remote Sensing Center 
(Public Applications Research of Satellite Data : FN06010). 
Also thanks to Mr. Jang MACCA for their support. 
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